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Preconditioned iterative methods for a class of nonlinear eigenvalue problems preconditioned iterative methods: preconditioned simple iteration method, preconditioned steepest descent method
Convex optimization problems with arbitrary right-hand side perturbations descent type method to find its solution. If the primal cost function does not possess strengthened
Decomposition descent method for limit optimization problems decomposition descent method. Its convergence is attained under coercivity type conditions.
Descent methods for monotone equilibrium problems in Banach spaces bifunction. We propose a combined regularization and descent method for this problem and establish strong
Iterative solution methods for mixed equilibrium problems and variational inequalities with non-smooth functions functions is considered. We describe some recent advances in the theory and solution methods for such mixed
D-gap functions and descent methods for a class of monotone equilibrium problems and suggest a descent type algorithm to find solutions to the initial problem.
Decentralized multi-agent optimization based on a penalty methodWe propose a decentralized penalty method for general convex constrained multi-agent optimization
Convex optimization problems with arbitrary right-hand side perturbations descent type method to find its solution. If the primal cost function does not possess strengthened
Preconditioned iterative methods for a class of nonlinear eigenvalue problems preconditioned iterative methods: preconditioned simple iteration method, preconditioned steepest descent method
D-gap functions and descent methods for a class of monotone equilibrium problems and suggest a descent type algorithm to find solutions to the initial problem.
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